The Ecological Ideal Free Distribution and Distributed Networked Control Systems
In this paper we first establish an analogy where we view both animals and vehicles as generic agents. We introduce a model of the ecological behavior of a group of agents and establish sufficient conditions for the group to achieve an ideal free distribution (IFD), even when we lift some of the “ideal” and “free” assumptions. Finally, we apply this model to cooperative vehicle control problems and present simulation results that show the benefits of an IFD-based distributed decision-making strategy.
- ABRAHAMS, M.V., “Patch choice under perceptual constraints: A case for departures from an ideal free distribution”, Behavioral Ecology and Sociobiology 70 (1986), 999–1007.Google Scholar
- FINKE, J., K. M. PASSINO, S. GANAPATHY, and A. SPARKS, “Modeling and analysis of cooperative control systems for uninhabited autonomous vehicles”, Cooperative Control, (S. MORSE, N. LEONARD, AND V. Kumar eds.). Springer-Verlag (2004).Google Scholar
- GIL, A., S. GANAPATHY, K.M. PASSINO, and Andrew Sparks, “Cooper-ative scheduling of tasks for networked autonomous vehicles”, Proceedings of the IEEE Conference on Decision and Control (Hawaii), (2003).Google Scholar
- PASSINO, K. M., and K. BURGESS, Stability Analysis of Discrete Event Systems, John Wiley and Sons, Inc., NY (1998).Google Scholar
- SUBRAMANIAN, S.K., and J.B. CRUZ, “Predicting pop up threats from an adaptive markov model”, Proceedings of the Conference on cooperative control and optimization (Gainsville, FL), (Dec. 2002), 127–147.Google Scholar
- SUTHERLAND, W., From Individual Behaviour to Population Ecology, Oxford: University Press New York (1996).Google Scholar